Hello Adam !
Thank you for posting on Microsoft Learn.
Azure ML is looking for a registered datastore named azureml
, not just a blob container with that name. You do have a blob container called azureml
in your storage account, but that alone doesn’t register it as a usable datastore in Azure ML.
If it's missing:
- Go to Manage > Data > Datastores in Azure ML Studio
- Click + New datastore
- Register it using the following:
- Name:
azureml
- Type: Azure Blob Storage
- Container name:
azureml
- Point it to the correct Storage Account and Authentication method
- Name:
If you don’t want to recreate a datastore named azureml
:
- Go to your batch deployment YAML or JSON config (if used)
- Change the output and input storage references to use the name of a valid datastore.